Comparison of the training of neural networks for quantitative x-ray fluorescence spectrometry by a genetic algorithm and backward error propagation
- 1 June 1991
- journal article
- research article
- Published by Elsevier in Analytica Chimica Acta
- Vol. 247 (1) , 97-105
- https://doi.org/10.1016/s0003-2670(00)83058-5
Abstract
No abstract availableKeywords
This publication has 5 references indexed in Scilit:
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- Multivariate data analysis for x-ray fluorescence spectrometryAnalytica Chimica Acta, 1985
- Two calculation procedures for the determination of composition and mass thickness of thin samples by x-ray spectrometryAnalytica Chimica Acta, 1982
- Adaptive System Design: A Genetic ApproachIEEE Transactions on Systems, Man, and Cybernetics, 1980
- Calibration for interelement effects in x-ray fluorescence analysisAnalytical Chemistry, 1974